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首页> 外文期刊>Ciencia Florestal >PADR?O ESPACIAL DE ESPéCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer
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PADR?O ESPACIAL DE ESPéCIES FLORESTAIS: ESTUDO DE CASO COM Ocotea odorifera (Vell.) Rohwer

机译:森林物种的空间格局:以Ocotea odorifera(Vell。)Rohwer为例的案例研究

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Distinction between generating mechanisms of the spatial patterns of forest species – case study with Ocotea odorifera . The objective of this research was the understanding of the processes and generating mechanisms of the spatial distribution of Ocotea odorifera , discriminating influences of the environment from those arising due to interactions between individuals. For this, coordinates from species trees were taken in a region of 25 hectares of Mixed Rain Forest (FOM) sampled in the National Forest (FLONA) of Irati. These data, described as a spatial point process, were evaluated by two Spatial Statistics techniques. Initially, a Kernel intensity estimator verified the global patterns of trees dispersion in the sampled region, and posteriorly, the non-homogeneous Ripley’s K function was used to study the local patterns. It was verified that the species clusters were localized in the highest areas of the sampled region, possibly in better drained soils. Furthermore, attraction was found amongst the specie's individuals, originating clusters in the largest scales analyzed, as shown by the non-homogeneous Ripley’s K function.
机译:森林物种空间格局产生机理的区别-以香豆茶为例。这项研究的目的是了解Ocotea odorifera空间分布的过程和产生机理,从而将环境影响与由于个人之间的相互作用而产生的影响区分开来。为此,在伊拉蒂国家森林(FLONA)的25公顷混合雨林(FOM)区域中,从树种中获取坐标。这些数据被描述为空间点过程,是通过两种空间统计技术进行评估的。最初,内核强度估计器验证了采样区域中树木分散的整体模式,随后,非均匀Ripley的K函数用于研究局部模式。事实证明,物种簇位于采样区域的最高区域,可能位于排水较好的土壤中。此外,如非均质的Ripley的K函数所示,在物种个体中发现了吸引力,这些物种以最大的尺度进行了分析。

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